Discovery procedures for sublanguage selectional patterns: initial experiments
Computational Linguistics
Plans for a task-oriented evaluation of natural language understanding systems
HLT '89 Proceedings of the workshop on Speech and Natural Language
Analyzing telegraphic messages
HLT '89 Proceedings of the workshop on Speech and Natural Language
An intelligent analyzer and understander of English
Communications of the ACM
Improved portability and parsing through interactive acquisition of semantic information
ANLC '88 Proceedings of the second conference on Applied natural language processing
Recovering implicit information
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Partial parsing: a report on work in progress
HLT '91 Proceedings of the workshop on Speech and Natural Language
Studies in part of speech labelling
HLT '91 Proceedings of the workshop on Speech and Natural Language
Statistical parsing of messages
HLT '90 Proceedings of the workshop on Speech and Natural Language
Coping with ambiguity and unknown words through probabilistic models
Computational Linguistics - Special issue on using large corpora: II
Robust processing of real-world natural-language texts
ANLC '92 Proceedings of the third conference on Applied natural language processing
Information extraction and semantic constraints
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Overview of the third message understanding evaluation and conference
MUC3 '91 Proceedings of the 3rd conference on Message understanding
New York University: description of the PROTEUS system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
New York University: description of the Proteus system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
New York University: description of the PROTEUS system as used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
POST: using probabilities in language processing
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
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The design of effective natural language processing systems requires a combination of the theoretical and the practical. We want to have a theoretically well-founded design so that we can take advantage of gradual improvements in our knowledge of syntax, semantics, discourse structures, and the subject domain. At the same time we need to adopt a practical approach which recognizes the inevitable shortcomings of our knowledge in these areas. We need to create robust systems which are able to deal appropriately with these shortcomings. We are interested in particular in systems for extracting specified information from a text. Such systems are robust if they are able to extract at least partial information despite the presence of ill-formed or unexpected syntactic, semantic, or discourse structures.